Whether it's a coal mine buried 300 meters beneath the earth, a power transmission corridor spanning thousands of kilometers, a bustling gas station, or a hectic central kitchen, safety remains paramount across all sectors. Hikvision, leveraging its Guanlan large model technology system, has introduced a cutting-edge multimodal AI fusion inspection superbrain. This innovation comprehensively upgrades algorithms for people, vehicles, behaviors, and events, offering an unparalleled multimodal inspection experience and ensuring the safe operation and development of various industries through more precise and efficient intelligent inspections.

Multimodal Upgrade for Enhanced Accuracy in Early Warning

In industries such as coal, power, logistics, warehousing, chemical parks, and construction sites, prompt identification and warning of risks, including unsafe human behaviors and conditions, are crucial. While AI inspection provides technical support for safety management, behavior recognition in complex scenarios remains a challenge. The upgraded multimodal AI fusion inspection superbrain first performs visual recognition and then integrates semantic analysis for secondary judgment, effectively filtering out false alarms and enhancing the overall application effectiveness.

For instance, accurately identifying a fall can buy valuable time for rescue. In traditional visual recognition systems, sitting and lying down might be mistaken for falling due to their similar appearances. However, with the upgraded multimodal model and the integration of semantic descriptions of a fall, similar postures like sitting on the ground, squatting, or leaning against a wall are filtered out, making fall warnings faster and more precise.

On-site Algorithm Tuning for Accelerated Intelligent Application Deployment

The AI fusion inspection superbrain innovatively supports on-site tuning, significantly boosting the efficiency of intelligent implementation. In cold northern regions, for example, staff wear winter safety helmets that differ markedly from regular helmets, often leading to false alarms of not wearing helmets. The multimodal model-powered superbrain allows for on-site tuning of true and false alarms, enabling quick optimization of the helmet recognition algorithm with just a few simple steps.

One-sentence Algorithm Generation for Agile Demand Response

Faced with diverse inspection tasks with varying focuses, how can algorithms be swiftly generated to meet increasingly personalized needs? The AI fusion inspection superbrain introduces a zero-sample startup solution. By inputting a sentence on the AI open platform, the required algorithm (typically a target detection algorithm) can be generated and applied by importing it into the device, dramatically enhancing the efficiency of intelligent application startup. Over time, incremental algorithm iteration (typically incremental training through the AI open platform) can be performed to refine the algorithm, improving the quality and efficiency of inspection work.

For example, in areas with dense pipelines, generating an excavator recognition algorithm with a single sentence can swiftly enable anti-external damage monitoring and early warning, promptly linking to security measures.

Scene Strategy Orchestration for Diversified Applications

As users gain deeper insights into AI, diversified algorithms or algorithm combinations can more rapidly adapt to practical applications. The AI fusion inspection superbrain introduces a scene strategy orchestration scheme that flexibly responds to user needs and enhances the efficiency of intelligent implementation. For instance, in kitchen wear compliance inspections, the deduplication strategy can be enabled, allowing the administrator to set the warning frequency as needed. In the safety inspection of oil unloading operations at gas stations, strategy orchestration can be activated according to the standard eight-step operation procedure. Any deviation from these steps is identified as a violation, triggering a warning to ensure the safety and efficiency of the oil unloading process.

Today, the AI fusion inspection superbrain, integrated with multimodal large model technology, is delving deeply into various industries, continuously innovating and exploring to make the "AI safety inspector" smarter and become a powerful assistant in diverse inspection scenarios.